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| 4. |  | FERREIRA, M. A. R.; FERREIRA, I. C.; VILVERT, J. C.; SOUZA, F. de F.; FREITAS, S. T. de. Caracterização físico-química de acessos de acerolas do Banco Ativo de Germoplasma da Embrapa Semiárido. In: JORNADA DE INTEGRAÇÃO DA PÓS-GRADUAÇÃO DA EMBRAPA SEMIÁRIDO, 4., 2019, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2020. p. 17-18. (Embrapa Semiárido. Documentos, 294).| Biblioteca(s): Embrapa Semiárido. |
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| 5. | | VILVERT, J. C.; FREITAS, S. T. de; SANTOS, L. F. dos; RIBEIRO. T. da S.; VELOSO, C. M. Phenolic compounds in acerola fruit and by-products: an overview on identification, quantification, influencing factors, and biological properties. Journal of Food Measurement and Characterization, v. 18, p. 216–239, 2024. Online.| Biblioteca(s): Embrapa Semiárido. |
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| 6. | | FERREIRA, I. C.; SILVA, W. P. da; VILVERT, J. C.; SOUZA, F. de F.; FREITAS, S. T. de. Qualidade físico-química de cinco clones de aceroleira produzidos no Vale do São Francisco e colhidos em dois estádios de maturação. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 14., 2019, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2019. p. 37-42 (Embrapa Semiárido. Documentos, 288).| Biblioteca(s): Embrapa Semiárido. |
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| 7. | | RIBEIRO, T. da S.; VILVERT, J. C.; SILVA, R. de S.; SOUZA, F. de F.; FREITAS, S. T. de. Qualidade de fruto dos acessos do Banco Ativo de Germoplasma de Aceroleira da Embrapa Semiárido. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 17., 2023, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2023. p. 17-18. (Embrapa Semiárido. Eventos Técnicos & Científicos, 1).| Biblioteca(s): Embrapa Semiárido. |
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| 9. | | FERREIRA, I. C.; SILVA, V. P. da; VILVERT, J. C.; SOUZA, F. de F.; FREITAS, S. T. de; LIMA, M. dos S. Brazilian varieties of acerola (Malpighia emarginata DC.) produced under tropical semi- arid conditions: Bioactive phenolic compounds, sugars, organic acids, and antioxidant capacity. Journal of Food Biochemistry, v. 45, n. 8, aug. 2021.| Biblioteca(s): Embrapa Semiárido. |
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| 10. | | SILVA, R. de S.; FREITAS, S. T. de; SOUZA, F. de F.; VILVERT, J. C.; COELHO JÚNIOR, W. P.; COELHO, W. C. P. Diversidade genética em acessos de aceroleira baseada em descritores físico-quimíco de frutos em diferentes estádios de maturação. RG News, v. 9, n. 1, p. 182, 2023. Edição Especial do 6º Simpósio Rede de Recursos Genéticos Vegetais do Nordeste, Recife, Nov. 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 11. | | SILVA, R. de S.; FREITAS, S. T. de; SOUZA, F. de F.; VILVERT, J. C.; COELHO JÚNIOR, W. P.; COELHO, W. C. P. Correlações entre descritores de fruto de aceroleira em diferentes estádios de maturação. RG News, v. 9, n. 1, p. 177, 2023. Edição Especial do 6º Simpósio Rede de Recursos Genéticos Vegetais do Nordeste, Recife, Nov. 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 14. | | RIBEIRO, T. da S.; SANTOS, L. F. dos; VILVERT, J. C.; ALVES, J. da S.; PIRES, B. P. de C; FREITAS, S. T. de. Caracterização e método não destrutivo para a identificação de desordens fisiológicas internas em mangas. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 16., 2022, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2022. p. 68-69. (Embrapa Semiárido. Documentos, 308).| Biblioteca(s): Embrapa Semiárido. |
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| 16. | | FERREIRA, M. A. R.; VILVERT, J. C.; SILVA, B. O. S. da; FERREIRA, I. C.; SOUZA, F. de F.; FREITAS, S. T. de. Índice de seleção para a identificação de genótipos superiores de acerola destinados ao consumo in natura. In: SIMPÓSIO DE FITOTECNIA, 3., 2021, Viçosa, MG. Agricultura, o negócio do Brasil: anais. Viçosa, MG: UFV: NEPFit, 2021. p. 53.| Biblioteca(s): Embrapa Semiárido. |
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| 18. | | SANTOS, L. F. dos; VILVERT, J. C.; SOUZA, T. A. de; ALVES, J. da S.; RIBEIRO, T. da S.; NEUWALD, D. A.; FREITAS, S. T. de. Minimum O2 levels during storage to inhibit aerobic respiration and prolong the postharvest life of Tommy Atkins mangoes produced in different growing seasons. Scientia Horticulturae, v. 318, 112094, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 20. | | VILVERT, J. C.; FREITAS, S. T. de; SANTOS, L. F. dos; CARDOSO, A. D.; LOPES, P. R. C.; AMARANTE, A. V. T. do. Portable VIS-NIR spectrometer for non-destructive determination of quality traits in apples and pears. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 27., 2022, Florianópolis. Valorização da ciência brasileira para a produção de frutas: anais. Florianópolis: SBF: Epagri: UDESC: UFSC: Embrapa, 2022. p. 419-421| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 24 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
16/11/2023 |
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Data da última atualização: |
16/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
COSTA, C. dos S. R.; LIMA, M. A. C. de; LIMA NETO, F. P.; COSTA, A. E. da S.; VILVERT, J. C.; MARTINS, L. S. S.; MUSSER, R. dos S. |
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Afiliação: |
CRISTINA DOS SANTOS RIBEIRO COSTA, UFRPE; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; FRANCISCO PINHEIRO LIMA NETO, CPATSA; ANTONIO ELTON DA SILVA COSTA, UNIVASF; JOÃO CLAUDIO VILVERT, State University of Southwest Bahia, Vitória da Conquista, BA; LUIZA SUELY SEMEN MARTINS, UFRPE; ROSIMAR DOS SANTOS MUSSER, UFRPE. |
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Título: |
Genetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Scientia Horticulturae, v. 317, 112049, 2023. |
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DOI: |
https://doi.org/10.1016/j.scienta.2023.112049 |
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Idioma: |
Inglês |
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Conteúdo: |
Mango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region. MenosMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18... Mostrar Tudo |
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Palavras-Chave: |
Multicaracterística FAI-BLUP; Parâmetros genéticos. |
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Thesagro: |
Fruta Tropical; Genótipo; Manga; Mangifera Indica. |
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Thesaurus NAL: |
Fruit quality; Mangoes; Selection index. |
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Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
LEADER 03024naa a2200313 a 4500
001 2158450
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008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.scienta.2023.112049$2DOI
100 1 $aCOSTA, C. dos S. R.
245 $aGenetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index.$h[electronic resource]
260 $c2023
520 $aMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region.
650 $aFruit quality
650 $aMangoes
650 $aSelection index
650 $aFruta Tropical
650 $aGenótipo
650 $aManga
650 $aMangifera Indica
653 $aMulticaracterística FAI-BLUP
653 $aParâmetros genéticos
700 1 $aLIMA, M. A. C. de
700 1 $aLIMA NETO, F. P.
700 1 $aCOSTA, A. E. da S.
700 1 $aVILVERT, J. C.
700 1 $aMARTINS, L. S. S.
700 1 $aMUSSER, R. dos S.
773 $tScientia Horticulturae$gv. 317, 112049, 2023.
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